After the synchronization, the assets are available in the specified domain.
Warning Do not move the assets to another domain. Doing so may lead to errors during future synchronizations.
By default, the assets are shown in a plain list, but you can enable a multi-path hierarchy to show it in a tree structure.
The Default Asset Status field in the capability determines the status of synchronized assets.
- If you select No Status, newly created assets receive the first status listed in your Operating Model statuses, and existing assets keep their assigned status.
- If you select Implemented, all assets receive the "Implemented" status.
Synchronized metadata per AWS Bedrock AI asset type
This table shows the metadata for the AWS Bedrock AI asset types. If you do not see any of the listed synchronized metadata, you can add characteristics to the layout on the asset type page.
The integration ingests Amazon Bedrock Agents, the agents you build and manage in the Bedrock Agents service. Amazon Bedrock AgentCore is currently not supported.
Note If you remove a label in Amazon Bedrock after a AWS Bedrock AI synchronization, the attribute for the removed label is removed when you integrate AWS Bedrock AI again.
| Asset type | Synchronized metadata | Public ID |
|---|---|---|
| AI Base Model | Description From Source System | DescriptionFromSourceSystem |
| AWS Bedrock AI Model Version
|
Description From Source System | DescriptionFromSourceSystem |
| Supported Input Modalities | SupportedInputModalities | |
| Supported Output Modalities | SupportedOutputModalities | |
| Supported Model Customizations | SupportedModelCustomizations | |
| Any custom metrics defined via the configuration. If you use custom metrics, ensure that you add them to the assignment and layout on the asset type page. | ||
| AI Model Deployment | Description From Source System | DescriptionFromSourceSystem |
| Creation Date in Source | CreationDateInSource | |
| Modification Date in Source | ModificationDateInSource | |
| AI Agent | Description From Source System | DescriptionFromSourceSystem |
| Creation Date in Source | CreationDateInSource | |
|
Any custom metrics defined via the configuration. If you use custom metrics, ensure that you add them to the assignment and layout on the asset type page. |
||
| AI Agent uses / is used by AI Model Version | AIAgentUsesAIModel | |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent Version | Description from source system | DescriptionFromSourceSystem |
| Version | Version | |
| Creation Date in Source | Creation Date in Source | |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool | |
| AI Agent Tool | AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool |
| AI Endpoint | Access Method | AccessMethod |
| Access Instructions | AccessInstructions | |
| Endpoint Availability | EndpointAvailability | |
| Supported Interaction Protocols | SupportedInteractionProtocols | |
| AI Monitor | ||
| File | File Location | FileLocation |
| Storage Container | Location | Location |
Operational trust metrics
The AWS Bedrock AI integration also collects usage and reliability metrics from Amazon CloudWatch. Collecting these metrics requires CloudWatch permissions. For more information, go to Create an AWS connection to an Edge or Collibra Cloud site.
| Asset type | Operational trust metrics | Token consumption metrics |
|---|---|---|
| AI Endpoint (Bedrock Agent aliases) | Daily pass, fail, and error counts | Daily input and output token counts |
- Like attributes, these metrics are stored internally. However, unlike attributes, these aren't accessible through the Collibra Platform APIs.
- These metrics power the Agents dashboard, the Quality tab on AI Agent assets, and the Operational Health theme on the AI Trust Score.
- Pass/fail and token consumption data for a Bedrock Agent alias only appears after synchronization has run at least once for that alias.
- Metrics are updated once per day.
To explore these metrics, in Settings, under AI Command Center, switch on Operational trust for AI agents.
For more information, go to Operational trust for AI agents and AI monitoring for AI agents.